Markus Scholz

220 papers receiving 6.1k citations

Markus Scholz's Hit Papers

Circular non-coding RNA ANRIL modulates ribosomal RNA maturation and atherosclerosis in humans 2016 · 866 citations
8660+3+6Years since publication250500750

Peers

Markus Scholz
Comparison fields: 5 of 184
  • Cancer Research 1.2k
  • Cardiology and Cardiovascular Medicine 866
  • Molecular Biology 2.0k
  • Hematology 266
  • Genetics 672
Replace Chia‐Jen Liu with:
Chia‐Jen Liu Taiwan
Daniel Candinas Switzerland
Michael Kasper Germany
Akira Sasaki Japan
Li Chen China
Knut Liestøl Norway
Mark D. Johnson United States
Norbert Hübner Germany
Takeshi Sasaki Japan
Ryo Yamada Japan
Markus Scholz relative to Chia‐Jen Liu Taiwan Chia‐Jen Liu's profile →
Citations per field
00.5×2.8×
Chia‐Jen Liu · 1×
Citations per year

Countries citing papers authored by Markus Scholz

Since Specialization
Citations

This map shows the geographic impact of Markus Scholz's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Markus Scholz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Scholz more than expected).

Fields of papers citing papers by Markus Scholz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Markus Scholz. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Markus Scholz. The network helps show where Markus Scholz may publish in the future.

Co-authors

The 25 scholars most cited alongside Markus Scholz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Markus Scholz Line = papers co-authored together Markus Scholz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 228 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Circular non-coding RNA ANRIL modulates ribosomal RNA maturation and atherosclerosis in humans
Hit paper breakdown →
2016866
2 2010374
3 2013311
4 2004135
5 2006134
6 1994117
7 2014117
8 2010117
9 2009105
10 200897
11 200990
12 201387
13 201381
14 202179
15 201568
16 201266
17 201063
18 201861
19 201858
20 201655

About Markus Scholz

Markus Scholz is a scholar working on Molecular Biology, Genetics, Cardiology and Cardiovascular Medicine, Epidemiology and Oncology, having authored 228 papers that have together received 6.3k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (20 papers), Adipokines, Inflammation, and Metabolic Diseases (10 papers), Neutropenia and Cancer Infections (10 papers), Hematopoietic Stem Cell Transplantation (6 papers), Adipose Tissue and Metabolism (6 papers), Cardiovascular Function and Risk Factors (6 papers), Lipoproteins and Cardiovascular Health (6 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). The work is most often cited by research in Cancer Research (1.2k citations), Cardiology and Cardiovascular Medicine (866 citations), Molecular Biology (2.0k citations), Hematology (266 citations) and Genetics (672 citations). Markus Scholz has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Joachim Thiery, Markus Loeffler, Frank Beutner, Daniel Teupser, Lesca M. Holdt, Gábor Gäbel, Gerhard Schüler, Michael Stümvoll, Anke Tönjes and Knut Krohn. Their work appears in journals such as PLoS ONE, Journal of Cardiothoracic and Vascular Anesthesia, The Journal of Clinical Endocrinology & Metabolism, BMC Genetics and Clinical Research in Cardiology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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